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Marco Barbieri

Marco Barbieri

Stanford University

H-index: 5

North America-United States

Contact Marco Barbieri

About Marco Barbieri

Marco Barbieri, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Nuclear Magnetic Resonance, Magnetic Resonance Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Field inhomogeneity correction for qDESS mapping: application to rapid bilateral knee imaging

A method for measuring B0 field inhomogeneity using quantitative double‐echo in steady‐state

Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approach

A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulations.

Characterization of Structural Bone Properties through Portable Single-Sided NMR Devices: State of the Art and Future Perspectives

Single‐sided NMR to estimate morphological parameters of the trabecular bone structure

Advances in the Role of Quantitative NMR in Medicine: Deep Learning applied to MR Fingerprinting and Trabecular Bone Volume Fraction Estimation through Single-Sided NMR

Marco Barbieri Information

University

Position

POSTDOCTORAL RESEARCH FELLOW

Citations(all)

75

Citations(since 2020)

70

Cited By

14

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Marco Barbieri Skills & Research Interests

Nuclear Magnetic Resonance

Magnetic Resonance Imaging

Top articles of Marco Barbieri

Field inhomogeneity correction for qDESS mapping: application to rapid bilateral knee imaging

Magnetic Resonance Materials in Physics, Biology and Medicine

2023/10

Marco Barbieri
Marco Barbieri

H-Index: 2

Valentina Mazzoli
Valentina Mazzoli

H-Index: 7

Andrew Schmidt
Andrew Schmidt

H-Index: 7

Feliks Kogan
Feliks Kogan

H-Index: 20

A method for measuring B0 field inhomogeneity using quantitative double‐echo in steady‐state

Magnetic Resonance in Medicine

2023/2

Marco Barbieri
Marco Barbieri

H-Index: 2

Feliks Kogan
Feliks Kogan

H-Index: 20

Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approach

NMR in Biomedicine

2022/4

Marco Barbieri
Marco Barbieri

H-Index: 2

Leonardo Brizi
Leonardo Brizi

H-Index: 7

Enrico Giampieri
Enrico Giampieri

H-Index: 14

Gastone Castellani
Gastone Castellani

H-Index: 29

Daniel Remondini
Daniel Remondini

H-Index: 22

A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulations.

Physica Medica

2021/9/1

Marco Barbieri
Marco Barbieri

H-Index: 2

Leonardo Brizi
Leonardo Brizi

H-Index: 7

Enrico Giampieri
Enrico Giampieri

H-Index: 14

Gastone Castellani
Gastone Castellani

H-Index: 29

Daniel Remondini
Daniel Remondini

H-Index: 22

Characterization of Structural Bone Properties through Portable Single-Sided NMR Devices: State of the Art and Future Perspectives

2021/7/7

Marco Barbieri
Marco Barbieri

H-Index: 2

Feliks Kogan
Feliks Kogan

H-Index: 20

Leonardo Brizi
Leonardo Brizi

H-Index: 7

Single‐sided NMR to estimate morphological parameters of the trabecular bone structure

Magnetic Resonance in Medicine

2021/6

Marco Barbieri
Marco Barbieri

H-Index: 2

Leonardo Brizi
Leonardo Brizi

H-Index: 7

Advances in the Role of Quantitative NMR in Medicine: Deep Learning applied to MR Fingerprinting and Trabecular Bone Volume Fraction Estimation through Single-Sided NMR

2020/3/16

Marco Barbieri
Marco Barbieri

H-Index: 2

See List of Professors in Marco Barbieri University(Stanford University)

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